REPOGEO REPORT · LITE
1rgs/claude-code-proxy
Default branch main · commit dd4a29af · scanned 5/8/2026, 2:02:54 PM
GitHub: 3,552 stars · 459 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface 1rgs/claude-code-proxy, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition README H1 and opening sentence to highlight code execution
Why:
CURRENT# Anthropic API Proxy for Gemini & OpenAI Models 🔄 **Use Anthropic clients (like Claude Code) with Gemini, OpenAI, or direct Anthropic backends.** 🤝
COPY-PASTE FIX# Claude Code Proxy: Local Code Execution for Remote LLMs 🔄 **Enable Claude's powerful code interpreter functionality for Gemini, OpenAI, or other LLMs via a local proxy, allowing remote AI models to execute code directly on your machine.**
- hightopics#2Add relevant topics to improve categorization
Why:
CURRENT(none)
COPY-PASTE FIXllm-proxy, code-interpreter, claude, openai, gemini, ai-agents, llm-orchestration, litellm, python
- mediumlicense#3Add a standard open-source license file
Why:
CURRENT(no LICENSE file detected — the repo has no recognizable license)
COPY-PASTE FIXCreate a LICENSE file in the repository root with the text of the MIT License.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- LiteLLM · recommended 2×
- LangChain · recommended 2×
- LlamaIndex · recommended 2×
- Instructor · recommended 2×
- OpenRouter.ai · recommended 1×
- CATEGORY QUERYHow can I use a large language model client with a different provider's backend API?you: not recommendedAI recommended (in order):
- LiteLLM
- OpenRouter.ai
- LangChain
- LlamaIndex
- FastAPI
- Flask
- Instructor
AI recommended 7 alternatives but never named 1rgs/claude-code-proxy. This is the gap to close.
Show full AI answer
- CATEGORY QUERYNeed a way to make my AI application compatible with multiple large model APIs.you: not recommendedAI recommended (in order):
- LangChain
- LlamaIndex
- LiteLLM
- OpenAI Python Library
- Instructor
AI recommended 5 alternatives but never named 1rgs/claude-code-proxy. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenessfail
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of 1rgs/claude-code-proxy?passAI named 1rgs/claude-code-proxy explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts 1rgs/claude-code-proxy in production, what risks or prerequisites should they evaluate first?passAI named 1rgs/claude-code-proxy explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo 1rgs/claude-code-proxy solve, and who is the primary audience?passAI did not name 1rgs/claude-code-proxy — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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1rgs/claude-code-proxy — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite